Interactive Cosmological Engine: https: //rrt-motor. streamlit. app/ GitHub Audit Repository (Code & Data): https: //github. com/JeanCCortez/RRT-Audit Abstract The Referential Relativity Theory (RRT) presents a hydrodynamic reformulation of gravitation, replacing the geometric static block of spacetime with a fluidic medium subject to Thermodynamic Phase Transitions. RRT eliminates the theoretical necessity for hypothetical entities such as Dark Matter and Dark Energy, replacing them with a viscous temporal field (T_) whose causal flow is governed by the local baryonic energy density () and the fundamental viscosity constant = 0. 028006. Through the Baryonic Neutrality Principle (BNP), the theory respects General Relativity in high-density environments (Solar System) while predicting viscous spatial drag in low-density regimes (Galactic Halos and Cosmic Voids). This repository contains the complete theoretical framework and the computational audit records, structured across four main volumes: Volume I: Observational Phenomenology and the Temporal Anisotropy Gradient. Establishes the core mechanics, resolving galactic rotation curves (SPARC catalog) with a 1. 33% residual error without dark matter. Volume II: Field Formalism and the Dynamics of Open Quantum Systems. Derives the complete mathematical action, covariant tensor equations (Spin-2), and the system-reservoir coupling formalisms. Volume III: Causal Genesis and the Architecture of Singularities. Replaces the Big Bang singularity with a Spontaneous Symmetry Breaking (SSB), solving the early galactic maturity observed by the JWST at z > 5. Volume IV: Causal Unification and Blind Predictions. The empirical falsification chapter. Demonstrates blind redshift recovery of gravitational lenses (SLACS catalog) and sets formal, deterministic predictions for the exact kiloparsec coordinates of structural ruptures (gaps) in Gaia's stellar streams, challenging the CDM sub-halo collision hypothesis. This work introduces a fully falsifiable cosmological framework, accompanied by an open-source algorithmic engine for independent verification.
Jean Coutinho Cortez (Mon,) studied this question.